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In the context of the COVID-19 pandemic, this study investigates a variety of approaches to supply disruption risk management for achieving effective responses for resilience at the supply management subunit level (e.g. category of items). Drawing on the attention-based view of the firm, the authors model the attentional antecedents of supply resilience as (1) attentional perspectives and (2) attentional selection. Attentional perspectives focus on either supply risk sources or supply network recoverability, and both are hypothesised to have a direct positive association with supply resilience. Attentional selection is top down or bottom up when it comes to disruption detection, and these are hypothesised to moderate the association between disruption risk management perspectives and resilience.

Conducted at the early phases of the COVID-19 pandemic, this study employs a hierarchical regression analysis on a multicountry survey of 190 procurement professionals, each responding from the perspective of their own subunit area of supply responsibility.

Both attentional disruption risk management perspectives are needed to achieve supply resilience, and neither is superior in terms of achieving supply resilience. Both the efficiency of the top down and exposure to the unexpected with the bottom up are needed – to a balanced degree – for improved supply resilience.

The results encourage firms to purposefully develop their supply risk management practices, first, to include both perspectives and, second, to avoid biases in attentional selection for disruption detection. Ensuring a more balanced approach may allow firms to improve their supply resilience.

The results contribute to the understanding of the microfoundations that underpin firms' operational capabilities for supply risk and disruption management and possible attentional biases.

The purpose of this chapter is to determine the basic characteristics of information economy, including consideration of the theoretical features and distinguishing the analytical aspects of functioning of this phenomenon under modern conditions. The authors offer a hypothesis that basic characteristics of information economy are transformed under the influence of digitization and the change in telecommunication interaction.

The following methodological tools were used: analytical introspection (determining estimate phenomena of the studied object with the help of practical materials analysis), theoretical cognition (grouping and synthesis of scientific studies of foreign and Russian scholars in the sphere of information economy), and group evaluation of phenomena (studying the modern regularities of information economy development).

The following conclusions are made: the theory of information economy is based on presenting information as a tool of economy management (information is the main economic value that creates national wealth); the modern idea of information economy is connected to the aspects of digital and telecommunication interaction; the information economy of the twenty-first century is aimed at monetization of information on households; and a new basic direction of information economy is information and program economy.

The sphere of application of the received results is rather wide. They will be of interest for practitioners, government employees, and researchers in the sphere of macro-economic development of the country during the period of transformation of the paradigm of economic growth. The main direction of future research is substantiation of approaches to formation of a new economic thought based on information and digital technologies.

There has been limited research that has explored the connection between digital supply chain (DSC) and SC innovation and SC dynamic capabilities. This paper aims to examine the mediating effect of SC innovation on the relationship between DSC and SC dynamic capabilities.

The research model and hypotheses were tested, employing (Statistical Package of Social Sciences) SPSS 25.0 and (Analysis of Moment Structures) AMOS 24.0 on data drawn from the Chinese manufacturing enterprises.

The study reveals that DSC has a significant positive effect on SC innovation and SC dynamic capabilities. SC innovation also has a significant positive effect on SC dynamic capabilities. Besides, the authors' research illustrates that SC innovation partially mediates the relationship between DSC and SC dynamic capabilities.

Since the results are derived from the data collected from China, it may not, therefore, be generalized to other settings. Moreover, future research could consider other contextual variables such as “environmental uncertainty” and “Government's Reward-Penalty Mechanism,” which may influence SC dynamic capabilities.

The study provides practical insights for senior executives and managers in the manufacturing industry. Managers should emphasize the investment of advanced digital technologies and tools (DTTs) and improvement of SC visibility and collaboration. In the digital age, companies should pay attention to the introduction of advanced technologies, tools and processes and focus on cultivating an innovative spirit to promote SC dynamic capabilities, thereby enhancing competitive advantages.

The paper illustrates that DSC is of great significance to improving SC dynamic capabilities. This study reveals compelling insights for firms to enhance SC innovation and dynamic capabilities by using DSC as an enabler.

Social risk management is vital for growth and business continuity. This study investigates the social risk shift in supply chain management during the Coronavirus Disease 2019 (COVID-19) pandemic.

Data were retrieved from Bloomberg between 2010 and 2021 regarding all supply chain enterprises from nine countries. The authors undertake a confirmatory examination of formulated hypotheses. Social supply chain risk (SSCR) refers to “firms that took the necessary steps to decrease social risks in their supply chain. Social risks involve the child or forced labor, poor working conditions, lack of a living and fair or minimum wage”. The authors complement the analysis and address the endogeneity issue using the dynamic generalized moments method (GMM).

A significant positive relationship between COVID-19 and SSCR was discovered in this study. Due to the COVID-19 pandemic, supply chain firms faced supply chain social risk. Notably, SSCR policies differ from one country to another during this period.

The research has some limitations. The sample data are limited to 9 countries. Furthermore, it was somewhat difficult to determine the country-wise difference using COVID-19 as a dummy variable. Future research may adopt qualitative approaches, such as structural or semi-structural interviews.

The results have important implications for supply chain practitioners to consider the critical role of social risk in their operations. COVID-19 has exposed the new political economy and re-centered governments as the key actors in tackling grand challenges to safeguard workers, produce socially useful products and protect their stakeholders. Also, the study highlights the importance of governments and policymakers having a well-structured regulatory framework and environment for firms to comply with the social norms in their supply chain management. Finally, the study's findings should encourage supply chain managers to adopt a proactive mechanism that reduces the social risk impacts of pandemics.

Considering the historical backdrop of the COVID-19 pandemic, this study is unique in measuring the SSCR of enterprises from a worldwide viewpoint.

A great deal of economic knowledge comes in the form of statistics, tables, graphs, and reports. In government, such materials often abound and point policymakers into different directions. Nonetheless, some materials evidently are more effective than others. Why is that? This chapter examines how high-level administrators reconfigure an institutional setup, so that it produces effective economic materials. A range of other supply-side strategies are discussed, too. The chapter takes a historical approach and focuses on actual practices. It examines activities and materials by rivaling actors in the American military administration of Germany, OMGUS, during 1945/46. The chapter finds that actors make materials effective through two interlocking strategies. First, actors re-engineer an institution in order to control which materials it produces and disseminates; second, actors align and adapt the specific content, form, and delivery of materials to their broader aim. The chapter supplements the economic history of Germany after World War II with a historical epistemologist perspective. It shows that the shift of US policy from economic restriction to reactivation was facilitated by a group of actors in OMGUS. By re-engineering the institution and creating official materials with a consistent narrative, they succeeded in transmitting their view, the need for economic reactivation, to the Washington administration.

This paper draws on social exchange theory to theorise supplier motivation to share knowledge. It examines the effects of supplier anticipated future dependence on their motivation to share knowledge with a buyer, mediated by economic, relational and learning motives. It also examines the conditional effects imposed by the current embeddedness of the relationship.

The study tested the proposed moderated mediation model using a scenario-based experimental method.

The results show that supplier anticipated future dependence increases their motivation to share knowledge, mediated by relational and learning motives. The results also show that current embeddedness has negative moderation effects on economic and learning but not relational motives.

The study deepens our understanding of supplier motivation to share knowledge as social exchange and offers insights on buyer-supplier relationship embeddedness.

The purpose of this paper is to examine the change in speed of dissemination of order flow information on stock volatility of return in 79 traded companies at the Cairo and Alexandria Stock Exchange (CASE).

The paper examines the interaction of volatility and volume in 79 traded companies in CASE over a period from January 1998 to May 2005 and provides support for the TGARCH specification for explaining the daily time dependence on the rate of information arrival to the market for stocks traded on CASE.

The paper finds that information size and direction have a negligible effect on conditional volatility and, as a result, the presence of noise trading and speculative bubbles is suspected. It was found that the persistence in volatility is not eliminated when lagged or contemporaneous trading volume is incorporated into a GARCH model. It is shown that, when volume is further broken down into its expected and unexpected components, volatility persistence decreases. This is especially true after May 2001, which marks the beginning of a succession of major stock market reforms. It was also found that anticipated information shocks can have a negative impact on the volatility of return, particularly prior to May 2001.

The decrease in the negative relationship between expected volume and volatility after May 2001 suggests that trading efficiency and information dissemination have improved. This is an important finding for CASE as it encourages the reform momentum and reinsures foreign investors.

Chris Labarte has been appointed Area Sales Manager with Alpha Metals, one of the leading suppliers of solder products and related materials.